CT-based assessment of regional pulmonary blood flow parameters: an update

机译：基于CT的区域肺血流参数评估：更新

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We have previously reported a deconvolution-based technique to recover regional microvascular transport characteristics from dynamic CT images. We have refined our deconvolution algorithm and used Monte Carlo simulations to estimate the error and confidence interval of the resulting regional microvascular mean transit time (MIT) measures. Random errors, assumed to be due to white noise in the imaging process, were superimposed upon known input (PA) and regional parenchymal time-intensity (blood flow) data. The resulting simulated data were then fit to gamma variate functions and processed via our deconvolution algorithm to provide microvascular MTT measures for the simulated curves. The magnitude of the noise used in the simulations was obtained by subtracting two consecutively acquired images (approximately 1.5 sec delay between the two images) from a dynamic imaging sequence of a supine dog imaged at FRC. A total of 35 simulations were performed for each of five sample locations spanning the dependent to nondependent extent of the lungs. Microvascular MTT ranged from 3.39 sec to 9.67 sec as sample locations were moved from dependent to nondependent areas of the lungs. The standard error associated with these measures ranged from plus or minus 0.03 sec in the dependent portion of the lungs to plus or minus 0.27 sec in the non-dependent area of the lungs.

机译：之前我们已经报道了基于反卷积，技术恢复从动态CT图像区域微血管的传输特性。我们已经优化了卷积算法和使用Monte Carlo模拟估算所产生的区域微血管平均通过时间（MIT）措施的错误和置信区间。随机误差，假定是由于在成像过程中的白噪声，分别在已知的输入（PA）和区域实质时间 - 强度（血流量）的数据叠加。将得到的模拟数据然后适合于γ变量函数，并通过我们去卷积算法以提供用于模拟曲线微血管MTT措施进行处理。通过从在FRC成像仰卧狗的动态成像序列中减去两个连续获取的图像（在两个图像之间约1.5秒的延迟）中获得在模拟中使用的噪声的幅度。总共35个模拟为每个跨越从属到肺的非依赖程度五个取样位置进行。微血管MTT范围从3.39秒到9.67秒作为采样位置是从从属移动到肺的非依赖区域。与这些措施有关的标准误差范围是加或减在肺部的从属部0.03秒加或减在肺的非依赖面积0.27秒。

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《Conference on physiology and function from multidimensional images》|1999年||共7页
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Jehangir K. Tajik; Binh Q. Tran; Eric A. Hoffman;
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2. CT-based assessment of acute stroke: CT, CT angiography, and xenon-enhanced CT cerebral blood flow. [J] . Kilpatrick MM, Yonas H, Goldstein S, Stroke: A Journal of Cerebral Circulation . 2001,第11期

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3. Assessment of intrathoracic blood volume as an indicator of cardiac preload: single transpulmonary thermodilution technique versus assessment of pressure preload parameters derived from a pulmonary artery catheter. [J] . Wiesenack C, Prasser C, Keyl C, Journal of cardiothoracic and vascular anesthesia . 2001,第5期

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4. CT-based assessment of regional pulmonary blood flow parameters: an update [C] . Jehangir K. Tajik, Univ. of Iowa College of Medicine, Iowa City, Conference on physiology and function from multidimensional images . 1999

机译：基于CT的区域性肺血流参数评估：更新
5. Non-invasive measurement of regional pulmonary edema and blood flow using magnetic resonance imaging. [D] . Caruthers, Shelton DeWitt. 1996

机译：使用磁共振成像的非侵入性测量局部肺水肿和血流。
6. Assessment of regional pulmonary blood flow using 68Ga-DOTA PET [O] . Carlos Velasco, Jesus Mateo, Arnoldo Santos, 2017

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CT-based assessment of regional pulmonary blood flow parameters: an update

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